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Data definition management

Your data logic deserves a source of truth

Stakeholders define metrics visually. Engineers receive compiled code automatically. Every change versioned and approved.

monthly_active_revenue

THE PROBLEM

Logic with no home breaks pipelines

When data definitions exist only in meetings and documents, stakeholders keep revising them informally — and pipelines silently drift.

WITHOUT LOGICGATE
Monthly revenue = all transactions in the billing month
Actually, exclude chargebacks as well
Remove internal test accounts too
I mentioned this in last week's review
No record. No version. Pipeline breaks in production.
WITH LOGICGATE
Ayesha R. updated Monthly Active Revenue
Change: type NOT IN ["chargeback"]
Reason: "Finance audit requires chargeback exclusion from MRR"
Approved by: Dawood L. — VP Data
Every change logged. Pseudocode auto-updated.

HOW IT WORKS

From scattered requirement to compiled code

1

Stakeholder defines

Uses visual dropdowns and condition blocks. No SQL. No ambiguity.

2

Engineer reviews

Inspects the change, approves or requests clarification with a written note.

3

LogicGate compiles

Definition auto-compiles to SQL, Python, or dbt. Versioned and timestamped.

4

Pipeline stays consistent

Copy output into your pipeline. No logic drift. No surprise revisions.

SEE IT IN ACTION

Define once. Compile to anything.

A definition built visually compiles to four formats — always in sync with the latest approved version. Edit a filter below to recompile live.

Monthly Active Revenuev4.2
IF
status=
AND
typeNOT IN
AND
is_internal=
AND
amount_usd>
Aggregation: SUM(amount_usd) · Group by: calendar_month
Compiled outputv4.2
AUTO-GENERATED
Compiling pseudocode…
DEFINE monthly_active_revenue(month):
  FROM transactions
  WHERE
    status = "completed"
    AND type NOT IN ["refund","chargeback"]
    AND is_internal = false
    AND amount_usd > 0
  RETURN SUM(amount_usd)
  GROUP BY calendar_month